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Abstract

Global temperatures are obtained using a linear least squares regression method with satellite radiation measure­ments, particularly those obtained from the SIRS-B aboard the NIMBUS IV satellite. Regression equations relating
temperature to spectral radiance observations are employed. The regression equations were then applied to independent observations to determine the feasibility of temperature
determinations over sparse data regions.